Every major event rate decisions, earnings surprises, geopolitical shifts gets filtered through editorial lenses before it reaches an AI agent. One outlet frames it as bullish, another as bearish. Raw news APIs pass this bias straight through with no quality signal attached.
Polaris was built to solve this. We run every piece of intelligence through a multi-stage verification pipeline that scores confidence, detects bias, generates counter-arguments, and extracts structured data before it ever reaches an agent.
The result is a single API that combines verified world intelligence with full financial market data: 889 tickers, 200 crypto tokens, 20 technical indicators, sentiment scoring, and an NLP screener all with the trust layer that no other data provider offers.
We believe the next generation of AI agents shouldn't inherit the biases of the data they consume. They should have infrastructure that helps them distinguish signal from noise. That's what Polaris provides.